摘要翻译:
分析了采样间隔对Kramers-Moyal系数估计的影响。我们得到了几个标准过程中这些系数的有限时间表达式。我们还分析了极端情况,如独立性和无波动限制,构成有用的参考。我们的结果旨在帮助数据驱动分析中正确地提取信息。
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英文标题:
《On low-sampling-rate Kramers-Moyal coefficients》
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作者:
C. Anteneodo and S. M. Duarte Queiros
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最新提交年份:
2010
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分类信息:
一级分类:Physics 物理学
二级分类:Statistical Mechanics 统计力学
分类描述:Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变,热力学,场论,非平衡现象,重整化群和标度,可积模型,湍流
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一级分类:Quantitative Finance 数量金融学
二级分类:Statistical Finance 统计金融
分类描述:Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
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英文摘要:
We analyze the impact of the sampling interval on the estimation of Kramers-Moyal coefficients. We obtain the finite-time expressions of these coefficients for several standard processes. We also analyze extreme situations such as the independence and no-fluctuation limits that constitute useful references. Our results aim at aiding the proper extraction of information in data-driven analysis.
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PDF链接:
https://arxiv.org/pdf/1010.0854